Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings

Research Article

A Heterogeneous IoT-Based Architecture for Remote Monitoring of Physiological and Environmental Parameters

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  • @INPROCEEDINGS{10.1007/978-3-319-76213-5_7,
        author={Gordana Gardašević and Hossein Fotouhi and Ivan Tomasic and Maryam Vahabi and Mats Bj\o{}rkman and Maria Lind\^{e}n},
        title={A Heterogeneous IoT-Based Architecture for Remote Monitoring of Physiological and Environmental Parameters},
        proceedings={Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings},
        proceedings_a={HEALTHYIOT},
        year={2018},
        month={2},
        keywords={Internet of Things Remote health monitoring WSN IEEE 802.15.4e TSCH 6TiSCH OpenMote OpenWSN Shimmer},
        doi={10.1007/978-3-319-76213-5_7}
    }
    
  • Gordana Gardašević
    Hossein Fotouhi
    Ivan Tomasic
    Maryam Vahabi
    Mats Björkman
    Maria Lindén
    Year: 2018
    A Heterogeneous IoT-Based Architecture for Remote Monitoring of Physiological and Environmental Parameters
    HEALTHYIOT
    Springer
    DOI: 10.1007/978-3-319-76213-5_7
Gordana Gardašević1,*, Hossein Fotouhi2,*, Ivan Tomasic2,*, Maryam Vahabi2,*, Mats Björkman2,*, Maria Lindén2,*
  • 1: University of Banja Luka
  • 2: Mälardalen University
*Contact email: gordana.gardasevic@etf.unibl.org, hossein.fotouhi@mdh.se, ivan.tomasic@mdh.se, maryam.vahabi@mdh.se, mats.bjorkman@mdh.se, maria.linden@mdh.se

Abstract

A heterogeneous Internet of Things (IoT) architecture for remote health monitoring (RHM) is proposed, that employs Bluetooth and IEEE 802.15.4 wireless connectivity. The RHM system encompasses Shimmer physiological sensors with Bluetooth radio, and OpenMote environmental sensors with IEEE 802.15.4 radio. This system architecture collects measurements in a relational database in a local server to implement a Fog node for fast data analysis as well as in a remote server in the Cloud.